Resource title

KMC/EDAM : A new approach for the visualization of K-Means Clustering results

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Resource description

In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through two stages. In the first stage the data is clustered by classical methods like K-means clustering. In the second stage the centroids of the obtained clusters are visualized in a fixed target space which is directly comparable to that of SOM.

Resource author

Claus Weihs, Karsten Luebke, Nils Raabe

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Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22578

Resource license

Adapt according to the presented license agreement and reference the original author.